activity
20152025
most citedPredicting evolutionary rescue via evolving plasticity in stochastic environments

129 citations · 155 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.PE2025

8 quick tips for data-model integration in ecology

Laurinne J Balstad, Joe Brennan, Marissa L. Baskett +12

Theoretical ecologists have long leveraged empirical data in various forms to advance ecology. Recently increased volumes and access to ecological data present an expanding set of…

q-bio.PE2022★ 5 cited

Characterizing long transients in consumer-resource systems with group defense and nonreproductive stages

Jorge Arroyo-Esquivel, Alan Hastings, Marissa L Baskett

During recent years, the study of long transients has been expanded in ecological theory to account for shifts in long-term behavior of ecological systems. These long transients ma…

q-bio.PE2019★ 4 cited

Optimal Investment to Enable Evolutionary Rescue

Jaime Ashander, Lisa C. Thompson, James N. Sanchirico +1

'Evolutionary rescue' is the potential for evolution to enable population persistence in a changing environment. Even with eventual rescue, evolutionary time lags can cause the pop…

q-bio.PE2016★ 129 cited

Predicting evolutionary rescue via evolving plasticity in stochastic environments

Jaime Ashander, Luis-Miguel Chevin, Marissa L. Baskett

Phenotypic plasticity and its evolution may help evolutionary rescue in a novel and stressful environment, especially if environmental novelty reveals cryptic genetic variation tha…

q-bio.PE2015★ 17 cited

Exploring the effect of the spatial scale of fishery management

Nao Takashina, Marissa L. Baskett

For any spatially explicit management, determining the appropriate spatial scale of management decisions is critical to success at achieving a given management goal. Specifically,…